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What is A Novel Approach For Fair Principal Component Analysis Based On Eigendecomposition about?

This document presents a novel approach to Principal Component Analysis (PCA) that addresses fairness issues by minimizing disparities in reconstruction errors between sensitive groups. The proposed method utilizes a simple one-dimensional search strategy based on eigendecomposition, allowing for effective dimensionality reduction while maintaining a low overall reconstruction error. The authors demonstrate that their approach significantly enhances fairness in PCA applications, making it suitable for real-

Author

shekharkirsan

Language

EN